摘要翻译:
本文提出了一种加窗频域重叠块滤波方法,用于直接序列信号的捕获。窗口作为一种新颖的观点,不仅允许脉冲整形而不需要前端脉冲整形滤波器,而且提高了频谱感知单元的性能,可以有效地实现在频域接收机中,并进一步用于认知无线电中的频谱感知或军用无线电中的窄带干扰消除。所提出的接收机适用于包含前导的不同信号的初始时间同步。这些信号包括单载波、常包络单载波、多载波甚至广义多载波信号,这使得所提出的接收机结构具有通用性。此外,接收机可用于执行长码滤波和计算未知周期前导的滑动相关。它可以进一步修改以处理大的多普勒频移。我们还将演示Rayleigh和Rician衰落信道下捕获的计算复杂度和性能分析。
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英文标题:
《Windowed Overlapped frequency-domain Block Filtering Approach for Direct
Sequence Signal Acquisition》
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作者:
Ebrahim Karami and Harri Saarnisaari
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最新提交年份:
2017
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分类信息:
一级分类:Electrical Engineering and Systems Science 电气工程与系统科学
二级分类:Signal Processing 信号处理
分类描述:Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用,包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、(生物)医学、图像、视频和多模态自然和人为信号,包括通信信号和数据。感兴趣的主题包括:统计信号处理、谱估计和系统辨识;滤波器设计;自适应滤波/随机学习;(压缩)采样、传感和变换域方法,包括快速算法;用于机器学习的信号处理和用于信号处理应用的机器学习;网络与图形信号处理;信号处理中的凸和非凸优化方法;雷达、声纳和传感器阵列波束形成和测向;通信信号处理;低功耗、多核、片上系统信号处理;信息物理系统的传感、通信、分析和优化,如电网和物联网。
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英文摘要:
This paper applies a windowed frequency-domain overlapped block filtering approach for the acquisition of direct sequence signals. The windows, as a novel viewpoint, not only allow pulse shaping without a front end pulse shaping filter, but also improve the performance of the spectrum sensing unit which can efficiently be implemented into this frequency-domain receiver and may further be used for spectrum sensing in cognitive radios or narrowband interference cancellation in military radios. The proposed receiver is applicable for initial time synchronization of different signals containing a preamble. These signals include single carrier, constant-envelope single-carrier, multi-carrier and even generalized-multi-carrier signals, which makes the proposed receiver structure a universal unit. Furthermore, the receiver can be used to perform filtering with long codes and compute the sliding correlation of an unknown periodic preamble. It can further be modified to handle large Doppler shifts. We will also demonstrate the computational complexity and analysis of the acquisition performance in Rayleigh and Rician fading channels.
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PDF链接:
https://arxiv.org/pdf/1710.03218